New Results
Using Machine Learning to Parse Breast Pathology Reports
Adam Yala, Regina Barzilay, Laura Salama, Molly Griffin, Grace Sollender, Aditya Bardia, Constance Lehman, Julliette M. Buckley, Suzanne B. Coopey, Fernanda Polubriaginof, Judy E. Garber, Barbara L. Smith, Michele A. Gadd, Michelle C. Specht, Thomas M. Gudewicz, Anthony Guidi, Alphonse Taghian, Kevin S. Hughes
doi: https://doi.org/10.1101/079913
Adam Yala
1Department of Electrical Engineering and Computer Science, CSAIL, MIT
Regina Barzilay
1Department of Electrical Engineering and Computer Science, CSAIL, MIT
Laura Salama
3Department of Radiation Oncology, MGH
Molly Griffin
2Division of Surgical Oncology, MGH
Grace Sollender
8Geisel School of Medicine at Dartmouth
Aditya Bardia
10Department of Medical Oncology, MGH
Constance Lehman
5Department of Radiology, MGH
Julliette M. Buckley
2Division of Surgical Oncology, MGH
Suzanne B. Coopey
2Division of Surgical Oncology, MGH
Fernanda Polubriaginof
9Department of Biomedical Informatics, Columbia University
Judy E. Garber
6Department of Medical Oncology, DFCI
Barbara L. Smith
2Division of Surgical Oncology, MGH
Michele A. Gadd
2Division of Surgical Oncology, MGH
Michelle C. Specht
2Division of Surgical Oncology, MGH
Thomas M. Gudewicz
4Department of Pathology, MGH
Anthony Guidi
7Department of Pathology, NWH
Alphonse Taghian
3Department of Radiation Oncology, MGH
Kevin S. Hughes
2Division of Surgical Oncology, MGH
Article usage
Posted October 10, 2016.
Using Machine Learning to Parse Breast Pathology Reports
Adam Yala, Regina Barzilay, Laura Salama, Molly Griffin, Grace Sollender, Aditya Bardia, Constance Lehman, Julliette M. Buckley, Suzanne B. Coopey, Fernanda Polubriaginof, Judy E. Garber, Barbara L. Smith, Michele A. Gadd, Michelle C. Specht, Thomas M. Gudewicz, Anthony Guidi, Alphonse Taghian, Kevin S. Hughes
bioRxiv 079913; doi: https://doi.org/10.1101/079913
Using Machine Learning to Parse Breast Pathology Reports
Adam Yala, Regina Barzilay, Laura Salama, Molly Griffin, Grace Sollender, Aditya Bardia, Constance Lehman, Julliette M. Buckley, Suzanne B. Coopey, Fernanda Polubriaginof, Judy E. Garber, Barbara L. Smith, Michele A. Gadd, Michelle C. Specht, Thomas M. Gudewicz, Anthony Guidi, Alphonse Taghian, Kevin S. Hughes
bioRxiv 079913; doi: https://doi.org/10.1101/079913
Subject Area
Subject Areas
- Biochemistry (11745)
- Bioengineering (8751)
- Bioinformatics (29195)
- Biophysics (14971)
- Cancer Biology (12095)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14178)
- Epidemiology (2067)
- Evolutionary Biology (18306)
- Genetics (12245)
- Genomics (16801)
- Immunology (11867)
- Microbiology (28083)
- Molecular Biology (11592)
- Neuroscience (60965)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2885)
- Systems Biology (7339)
- Zoology (1651)